Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Human-level control through deep reinforcement learning
201517.2k citationsVolodymyr Mnih, Koray Kavukcuoglu et al.Natureprofile →
Mastering the game of Go with deep neural networks and tree search
20168.8k citationsDavid Silver, Aja Huang et al.Natureprofile →
Mastering the game of Go without human knowledge
20175.0k citationsDavid Silver, Julian Schrittwieser et al.Natureprofile →
Overcoming catastrophic forgetting in neural networks
20173.6k citationsJames Kirkpatrick, Razvan Pascanu et al.Proceedings of the National Academy of Sciencesprofile →
Improved protein structure prediction using potentials from deep learning
20202.0k citationsJames Kirkpatrick, Laurent Sifre et al.Natureprofile →
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
20181.8k citationsDavid Silver, Thomas Hubert et al.Scienceprofile →
Patients with hippocampal amnesia cannot imagine new experiences
2007965 citationsDemis Hassabis, Dharshan Kumaran et al.Proceedings of the National Academy of Sciencesprofile →
The Future of Memory: Remembering, Imagining, and the Brain
2012873 citationsDaniel L. Schacter, Donna Rose Addis et al.Neuronprofile →
Deconstructing episodic memory with construction
2007864 citationsDemis Hassabis, Eleanor A. Maguireprofile →
Neuroscience-Inspired Artificial Intelligence
2017803 citationsDemis Hassabis, Dharshan Kumaran et al.Neuronprofile →
Accurate proteome-wide missense variant effect prediction with AlphaMissense
2023692 citationsDemis Hassabis, Pushmeet Kohli et al.Scienceprofile →
Hybrid computing using a neural network with dynamic external memory
2016683 citationsAlex Graves, Agnieszka Grabska‐Barwińska et al.Natureprofile →
When Fear Is Near: Threat Imminence Elicits Prefrontal-Periaqueductal Gray Shifts in Humans
2007675 citationsDean Mobbs, Jennifer L. Marchant et al.Scienceprofile →
Using Imagination to Understand the Neural Basis of Episodic Memory
2007543 citationsDemis Hassabis, Dharshan Kumaran et al.Journal of Neuroscienceprofile →
Reinforcement Learning, Fast and Slow
2019369 citationsMatthew Botvinick, Charles Blundell et al.profile →
What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated
2016361 citationsDharshan Kumaran, Demis Hassabis et al.profile →
From Threat to Fear: The Neural Organization of Defensive Fear Systems in Humans
2009352 citationsDean Mobbs, Jennifer L. Marchant et al.Journal of Neuroscienceprofile →
Human-level performance in 3D multiplayer games with population-based reinforcement learning
2019349 citationsMax Jaderberg, Wojciech Marian Czarnecki et al.Scienceprofile →
The construction system of the brain
2009348 citationsDemis Hassabis, Eleanor A. Maguireprofile →
Prefrontal cortex as a meta-reinforcement learning system
2018317 citationsDharshan Kumaran, Joel Z. Leibo et al.profile →
Discovering faster matrix multiplication algorithms with reinforcement learning
2022244 citationsAja Huang, Thomas Hubert et al.Natureprofile →
Advancing mathematics by guiding human intuition with AI
2021243 citationsLars Buesing, Nenad Tomašev et al.Natureprofile →
Pushing the frontiers of density functionals by solving the fractional electron problem
2021243 citationsJames Kirkpatrick, David H. P. Turban et al.Scienceprofile →
A distributional code for value in dopamine-based reinforcement learning
2020236 citationsDemis Hassabis, Rémi Munos et al.Natureprofile →
Unveiling the predictive power of static structure in glassy systems
2020230 citationsVictor Bapst, Thomas M. Keck et al.Nature Physicsprofile →
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)
2019208 citationsJames Kirkpatrick, Laurent Sifre et al.profile →
Hippocampal place cells construct reward related sequences through unexplored space
2015187 citationsDemis Hassabis, Hugo J. Spiers et al.profile →
Protein structure predictions to atomic accuracy with AlphaFold
Countries citing papers authored by Demis Hassabis
Since
Specialization
Citations
This map shows the geographic impact of Demis Hassabis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Demis Hassabis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Demis Hassabis more than expected).
This network shows the impact of papers produced by Demis Hassabis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Demis Hassabis. The network helps show where Demis Hassabis may publish in the future.
Co-authorship network of co-authors of Demis Hassabis
This figure shows the co-authorship network connecting the top 25 collaborators of Demis Hassabis.
A scholar is included among the top collaborators of Demis Hassabis based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Demis Hassabis. Demis Hassabis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kirkpatrick, James, David H. P. Turban, Alexander L. Gaunt, et al.. (2021). Pushing the frontiers of density functionals by solving the fractional electron problem. Science. 374(6573). 1385–1389.243 indexed citations breakdown →
3.
Bapst, Victor, Thomas M. Keck, Agnieszka Grabska‐Barwińska, et al.. (2020). Unveiling the predictive power of static structure in glassy systems. Nature Physics. 16(4). 448–454.230 indexed citations breakdown →
4.
Jaderberg, Max, Wojciech Marian Czarnecki, Iain Dunning, et al.. (2019). Human-level performance in 3D multiplayer games with population-based reinforcement learning. Science. 364(6443). 859–865.349 indexed citations breakdown →
5.
Silver, David, Thomas Hubert, Julian Schrittwieser, et al.. (2018). A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science. 362(6419). 1140–1144.1827 indexed citations breakdown →
Kirkpatrick, James, Razvan Pascanu, Neil C. Rabinowitz, et al.. (2017). Overcoming catastrophic forgetting in neural networks. Proceedings of the National Academy of Sciences. 114(13). 3521–3526.3594 indexed citations breakdown →
11.
Racanière, Sébastien, Théophane Weber, David Reichert, et al.. (2017). Imagination-Augmented Agents for Deep Reinforcement Learning. arXiv (Cornell University). 30. 5690–5701.49 indexed citations
12.
Silver, David, Aja Huang, Chris J. Maddison, et al.. (2016). Mastering the game of Go with deep neural networks and tree search. Nature. 529(7587). 484–489.8793 indexed citations breakdown →
13.
Milan, Kieran, et al.. (2016). The Forget-me-not Process. Neural Information Processing Systems. 29. 3702–3710.1 indexed citations
14.
Mnih, Volodymyr, Koray Kavukcuoglu, David Silver, et al.. (2015). Human-level control through deep reinforcement learning. Nature. 518(7540). 529–533.17153 indexed citations breakdown →
Hassabis, Demis, et al.. (2012). Is the brain a good model for machine intelligence?. UCL Discovery (University College London).2 indexed citations
17.
Schacter, Daniel L., et al.. (2012). The Future of Memory: Remembering, Imagining, and the Brain. Neuron. 76(4). 677–694.873 indexed citations breakdown →
18.
Mobbs, Dean, Demis Hassabis, Ben Seymour, et al.. (2009). Choking on the Money. Psychological Science. 20(8). 955–962.69 indexed citations
19.
Hassabis, Demis, Dharshan Kumaran, Seralynne D. Vann, & Eleanor A. Maguire. (2007). Patients with hippocampal amnesia cannot imagine new experiences. Proceedings of the National Academy of Sciences. 104(5). 1726–1731.965 indexed citations breakdown →
20.
Hassabis, Demis, Dharshan Kumaran, & Eleanor A. Maguire. (2007). Using Imagination to Understand the Neural Basis of Episodic Memory. Journal of Neuroscience. 27(52). 14365–14374.543 indexed citations breakdown →
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.
You can learn more about the impact of Demis Hassabis by visiting their Pantheon page.